Data Characteristics for This Category
Data for clinical trial pre-screening in medical affairs primarily originates from various public and private databases, such as ClinicalTrials.gov, the World Health Organization International Clinical Trials Registry Platform (WHO ICTRP), and internal Clinical Trial Management Systems (CTMS). Data updates typically occur weekly or monthly, with some critical trial information potentially updating in real-time. Document structures are mainly structured and semi-structured data, including trial protocols, Investigator's Brochures (IB), and Case Report Forms (CRF). Fields cover basic trial information (e.g., trial name, investigational drug, indication), study design (e.g., inclusion/exclusion criteria, study phase, sample size), study site and investigator information, and key endpoint indicators. Units commonly include milligrams (mg) and micrograms (µg) for dosage, weeks and months for time periods, and subjects for sample size.
Constraints Imposed by These Characteristics on "Deployment and Upgrade"
The wide range of data sources and varying update frequencies for clinical trial pre-screening in medical affairs necessitate considering multi-source heterogeneous data integration and synchronization mechanisms during deployment. The presence of semi-structured documents (e.g., trial protocol PDFs) demands high capabilities in document parsing and information extraction, requiring efficient text processing modules. Key fields like inclusion/exclusion criteria involve complex logical judgments and multi-dimensional matching, which requires knowledge base construction to support flexible query syntax and high-dimensional vector retrieval. The relatively large and frequently updated data volume poses challenges for storage system scalability and data consistency. Furthermore, due to involvement with drug development and patient information, strict requirements for data security and compliance exist, necessitating access control and data encryption during deployment. During upgrades, evolving data schemas and the addition of new fields require smooth data migration strategies and compatibility handling to avoid service interruptions or data loss.
Configuration Settings
| Configuration Item | Recommended Value | Rationale for this Value |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Clinical trial protocols and investigator brochures can contain numerous charts and detailed descriptions, leading to large individual file sizes. |
maxContext | 8000 tokens | Complex inclusion/exclusion criteria and trial design descriptions require a longer context window to ensure information completeness. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing and vectorizing large PDF documents can be time-consuming, requiring sufficient timeout to prevent task interruption. |
Chunk size | 800–1200 characters | Ensures each text segment contains sufficient semantic information while avoiding excessive length that could reduce vectorization efficiency, suitable for medical texts. |
Recall count | Top 10 entries | Clinical trial pre-screening requires considering multiple matching conditions; increasing the number of recalled items improves coverage of relevant information. |
Similarity threshold | 0.75 | Matching clinical trial inclusion/exclusion criteria requires high precision to avoid misjudgments. |
Three Common Pitfalls
- Knowledge base query results are empty. This can be due to document parsing failure or field mapping errors leading to incorrect extraction of key information.
- System response time significantly slows down. This occurs when large-scale vector data lacks index optimization or database connection pool configuration is insufficient.
- After an upgrade, some users cannot log in or experience data anomalies. This is typically due to changes in user IDs or data table structures without adequate compatibility testing and data migration.
How to Confirm Correct Configuration
- Upload multiple clinical trial protocols in different formats (PDF, DOCX). Check if key fields, such as investigational drugs and inclusion criteria, are successfully parsed and extracted.
- Execute pre-screening queries with complex logic, for example, "recruit stage II hypertension patients aged 18-65 with no history of heart disease." Verify the accuracy and completeness of the recalled results.
- Monitor system logs and resource usage. Confirm that system response time, CPU, and memory utilization remain within acceptable ranges during simulated high-concurrency query scenarios.
- After an upgrade, cross-reference critical user permissions and historical data. Ensure users can access their original knowledge bases and data normally, and that data content is correct.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-21.